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Record W2103057887 · doi:10.1149/1.3570111

Development of Novel Fe-Doped Barium Calcium Niobates as Promising Mixed Conductors for Solid Oxide Fuel Cells (SOFCs)

2011· article· en· W2103057887 on OpenAlex
Wang Hay Kan, Trang T. Trinh, Tobias Fürstenhaupt, Venkataraman Thangadurai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueECS Transactions · 2011
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBariumMaterials scienceConductivityChemical engineeringOxideDopingMetallurgyChemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Synthesis, structural analysis, chemical stabilities and electrochemical measurements of a new Fe-doped barium calcium niobates (Fe-BCNs) family as promising mixed conductors for SOFCs were reported. The Fe-BCNs, prepared by conventional solid state method, exhibited as single phases which can be indexed as Fm-3m (space group no. 225) structure with cell parameter a ~ 8.4 Aå by PXRD and SAED. The Fe-BCNs showed superior chemical stability in pure CO2 gas at 800oC for 24 h, boiling H2O for 72 h, 30 ppm H2S at 600oC for 24 h and pure CH4 gas at 600oC for 12 h, confirmed by PXRD. The highest total conductivity of 1.3 × 10-2 Scm-1 (Ea~0.5eV) was found for Ba2Ca0.787Fe0.566Nb0.646O6-δ at 400oC in air.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.082
GPT teacher head0.308
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it